AI Engineer

SimplifyNext is a next-generation consulting and technology firm specializing in Hyperautomation, Artificial Intelligence, and Next-Gen Applications. We help organisations transform by embedding AI into core processes, scaling automation programs, and delivering intelligent, data-driven digital solutions.

Headquartered in Singapore with offices in Malaysia and Thailand, we are trusted by over 150 organisations to deliver large-scale automation, AI, low-code and digital modernisation initiatives. Recognised as one of Singapore’s 100 Fastest Growing Companies 2024 (Straits Times & Statista) and High-Growth Companies Asia-Pacific 2024 (Financial Times & Statista), we continue to build transformation journeys that last.

We partner with leading technology platforms – AWS, Microsoft, Google Cloud, UiPath, ServiceNow, OutSystems and more – while investing in Centres of Excellence and innovation programs to empower both our clients and our people.

Work you’ll do

As an AI Engineer at SimplifyNext, you will be part of a hands-on engineering team building real-world AI and machine learning solutions that create meaningful impact for clients across ASEAN. You will work closely with consultants, architects, and domain experts to translate business problems into deployable AI models, generative AI workflows, and intelligent automation components. You will have the opportunity to experiment with modern AI frameworks, build prototypes, fine-tune models, and implement AI capabilities end-to-end—from data preparation to deployment.

Your responsibilities would include but not limited to:

AI & Machine Learning Development

• Build and train machine learning models using Python and modern ML frameworks
• Experiment with generative AI technologies (LLMs, embeddings, prompt engineering, RAG, agentic workflows)
• Support fine-tuning, optimisation, and evaluation of AI models
• Develop reusable AI components and microservices

Data Engineering & Preparation

• Collect, clean, and transform datasets for training and inference
• Perform exploratory data analysis to uncover patterns and insights
• Document data assumptions, limitations, and preprocessing logic

Solution Engineering

• Contribute to AI solution design, model selection, architecture discussions, and implementation approaches
• Integrate AI models into applications, APIs, and automation workflows
• Build proof-of-concepts (POCs) and accelerate client adoption of AI

Testing, Deployment & Delivery

• Conduct model validation, scenario testing, and UAT with internal and client stakeholders
• Support deployment of AI models on cloud platforms (AWS/GCP/Azure) or containerised environments
• Monitor performance and support continuous improvement post-deployment

Collaboration & Consulting Exposure

• Work with functional SMEs to understand business problems and AI opportunities
• Translate complex concepts into simple, understandable terms for non-technical audiences
• Participate in workshops, demos, and client discussions as part of project teams

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, AI, Data Science, or a related field.
• 4-10+ years of AI development experience.
• Strong foundation in Python, algorithms, and data structures.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or HuggingFace.
• Understanding of ML fundamentals: supervised/unsupervised learning, model evaluation, feature engineering.
• Knowledge of cloud platforms (AWS, GCP, Azure) is a plus.
• Familiarity with Git, REST APIs, or notebook-based development is beneficial.
• Strong analytical thinking, curiosity, and problem-solving skills.
• Passion for AI, experimentation, building things, and delivering quality work.

Why Join Us

• Be part of a fast-growing consulting and technology firm driving AI, automation, and next-gen engineering
• Work on high-impact challenges across ASEAN, delivering real-world AI solutions
• Gain hands-on experience from day one with industry experts, architects, and consultants
• Contribute to innovation programmes, accelerators, and AI Centres of Excellence
• Grow rapidly through certifications, mentorship, structured enablement, and exposure to emerging AI technologies
• Join a supportive, high-trust culture that values creativity, experimentation, and continuous learning